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junmiu_v82
- 在matlab R2009b调试通过，非归零型差分相位调制信号建模与仿真分析 ，利用最小二乘算法实现对三维平面的拟合。 - In matlab R2009b debugging through, NRZ type differential phase modulation signal modeling and simulation analysis, Least-squares algorithm to fit a three-dimensional plane.
etxvi
- 能量谱分析计算,处理信号的时频分析，利用最小二乘算法实现对三维平面的拟合。- Energy spectrum analysis and calculation, When processing a signal frequency analysis, Least-squares algorithm to fit a three-dimensional plane.
foufaoping
- matlab程序运行时导入数据文件作为输入参数，利用最小二乘算法实现对三维平面的拟合，供做算法研究人员参考。- Import data files as input parameters matlab program is running, Least-squares algorithm to fit a three-dimensional plane, Algorithm for researchers to do reference.
nuqqy
- 包括回归分析和概率统计，esprit算法对有干扰的信号频率进行估计,利用最小二乘算法实现对三维平面的拟合。- Including regression analysis and probability and statistics, esprit algorithm signal frequency interference can be assessed Least-squares algorithm to fit a three-dimensional plane.
jui_fe20
- PLS部分最小二乘工具箱,利用最小二乘法进行拟合多元非线性方程，采用的是通用的平面波展开法。- PLS PLS toolbox, Multivariate least squares fitting method of nonlinear equations, Using common plane wave expansion method.
fs366
- 利用最小二乘算法实现对三维平面的拟合，主同步信号PSS在时域上的相关仿真，完整的基于HMM的语音识别系统。- Least-squares algorithm to fit a three-dimensional plane, PSS primary synchronization signal in the time domain simulation related, Complete HMM-based speech recognition system.
lei_xq73
- 用于信号特征提取、信号消噪，matlab程序运行时导入数据文件作为输入参数，利用最小二乘算法实现对三维平面的拟合。- For feature extraction, signal de-noising, Import data files as input parameters matlab program is running, Least-squares algorithm to fit a three-dimensional plane.
提取周期信号
- 用于信号的周期成分提取，使用的最小二乘方法，拟合出一个单频的正弦信号。(For the extraction of periodic components of signals, the least square method is used to fit a sinusoidal signal of a single frequency.)
ridge regression1
- 岭回归(英文名：ridge regression, Tikhonov regularization)是一种专用于共线性数据分析的有偏估计回归方法，实质上是一种改良的最小二乘估计法，通过放弃最小二乘法的无偏性，以损失部分信息、降低精度为代价获得回归系数更为符合实际、更可靠的回归方法，对病态数据的拟合要强于最小二乘法。 总之，本文档是岭回归的R语言实现代码，主要用于解决当模型中出现多重共线性问题，尤其是当你所有的解释变量都很重要，又无法通过其他检验来删除时，岭回归是一个很好的解决办法。(Ridge
code
- 对于单输入单输出的系统（Single input single output，SISO）常采用最小二乘方法辨识系统的参数。最小二乘参数估计是一个经典的方法，概念简明，适应范围广，来源于数理统计的回归分析，它能提供一个在最小方差意义上与实验数据最好拟合的模型，在一些情况下，可得到与极大似然法一样好的统计效果，并能很方便地与其它辨识算法建立关系。在一定条件下，最小二乘法参数估计法有最佳的统计特性，即一致的、无偏的和有效的结果。本代码主要关于使用递推最小二乘辨识方法与增广最小二乘辨识方法辨识模型参数，
pls
- 偏最小二乘回归，里边有若干相关因素，分别输入历史数据，并与待预测量进行偏最小二乘回归，拟合出方程，从而进行预测(Partial least squares regression)
CurveFitProgram
- 使用最小二乘曲线，来实现曲线的拟合。并输出拟合后的参数。(The curve fitting is realized by using the least square curve. And output the parameters after fitting.)
rls
- 本函数为迭代最小二乘算法，用于拟合曲线，已经通过验证(This function is an iterative least square algorithm, which is used to fit the curve, and has been verified.)
mpfit
- mpfit 非线性最小二乘 用于非线性拟合(MPFIT non-linear least square)
LSPIA
- 代码实现2014 CAD 文章 Progressive and iterative approximation for least squares B-spline curve and surface fitting(The code implementation of Progressive and iterative approximation for least squares B-spline curve and surface fitting)
椭圆检测
- MATLAB实现的一种基于最小二乘的椭圆拟合直接算法源代码.附件中的源代码是matlab编写的，实现一种对于椭圆的稳定的数据拟合算法。(Matlab implementation of a direct Algorithm based on the least squares ellipse fitting source code. Annex in the source code is prepared by Matlab, to achieve a stable data for the o